Data Scientists

Master’s Degree

#bcndatascience Meeting

Summer School (beta)

Barcelona GSE Data Science Ecosystem (v.2016)

Companies, Institutions, and Partners

Barcelona GSE Data Scientists

Omiros Papaspiliopoulos ICREA-UPF and BGSE Computational Statistics, Bayesian methodology and computation, Machine Learning, Stochastic Processes

Christian Fons-Rosen UPF and BGSE Innovation, Political Economy, Corporate Finance

Gábor Lugosi ICREA-UPF and BGSE Machine Learning, Pattern Classification, Information Theory

Michael Greenacre UPF and BGSE Data Visualization, Applied Statistics, Multivariate Analysis

Christian Brownlees UPF and BGSE Non-linear Time Series, Networks, Systemic Risk, High Frequency Data

Stephen E. Hansen UPF and BGSE Text Mining, Applications of Machine Learning to Social Sciences

Team of experts from academia and industry

Pau Agulló Kernel Analytics Data Mining, Customer Value Management, Quantitative Marketing

Alexandros Karatzoglou Telefónica Research Deep Learning, Recommender Systems

Matthew Eric Bassett Gower Street Analytics Data Science for the film industry, topological data analysis

Marc Noy Universitat Politècnica de Catalunya Combinatorial optimization

David Rossell University of Warwick High-dimensional Statistics, Bioinformatics, Bayesian Methods, Experimental Design

Master’s Degree in Data Science > Vision and Program

Detect assess, and leverage opportunities for data-driven value

creation

Collaborate with business managers, scientists, politicians, computer

engineers

Conduct data science projects autonomously

Our students graduate with the skills needed to:

Training is organized around four components of Data Science:

Classification Methods Statistical Computing

Bayesian Modelling and Simulation

Time Series Neural Networks

Recommender Systems Text Mining

Linear Programming Combinatorial

Optimization Stochastic Optimization

Queuing Systems Revenue Management

Pricing Networks and Graphs

Big Data in Banking and Finance

Stochastic and Computational Finance

Mechanism Design Auctions

Game Theory

STATISTICS AND MACHINE LEARNING

COMPUTING AND INFORMATION

SYSTEMS OPTIMIZATION

ECONOMICS, FINANCE AND POLICY

MAKING

Master’s Degree in Data Science > Activities

WORKSHOPS WEEKLY SEMINARS COMPETITIONS AND HACKATHONS

INDUSTRIAL PRACTICUM

The practicum gives BGSE Data Science students the opportunity to complete a "deep dive" analytics project using real data from selected companies around Barcelona.

Deep Learning

Statistical Learning with Massive Amounts of Data

Ultra-high Dimensional Variable Selection

Scientific Computing

QUALIFIED DATA SCIENTISTS

Master’s Degree in Data Science > Career Paths

TALENTED STUDENTS

SELECTIVE ADMISSIONS PROCESS We search for motivated candidates with talent,

ambition, and a diverse range of skills

INTERNATIONAL PROFILE 24 different countries in the first two editions

QUANTITATIVE BACKGROUNDS Economics, Engineering, Mathematics, Computer

Science, Business Administration, Physics

WORK EXPERIENCE From new graduates to seasoned professionals

100% of first cohort placed within 3 months of graduation

recruiters on campus last year

of these hired BGSE graduates

recruiters came back to recruit more students

this year

of practicum companies offered jobs to students

last year

Companies that believe in us

INDUSTRIAL PRACTICUM

RECRUITERS AND EMPLOYERS

SPEAKERS AND GUESTS

Examples of the companies and institutions in the Barcelona GSE Data Science ecosystem. Some could be included in more than one category.  

Co-organized with:

KEYNOTE SPEAKERS Pedro Cosa Fernandez (Channel 4)

Andrew Gelman (Columbia University) Nicolas Le Roux (Criteo)

EXPERT PANELS Real Economy

Entertainment/Gaming Services Sector/Marketing

DATA SCIENCE FOR ACADEMIA AND INDUSTRY

Participation of top researchers and practitioners from Europe and the US

participants over two days

speakers and panelists

institutions represented

A two-day conference exploring Data Science research and applications for business and institutions. First edition: 2016

Data Science Summer School

Data Science Toolbox

Machine Learning

Deep Learning

This year marks the 10th edition of Barcelona GSE Summer Schools and the beta release of the Summer School program in Data Science. This first edition will provide hands-on training on data warehousing, computing, and computational machine learning. Hundreds of students join the BGSE Summer Schools each year. Participants come from countries all over the world and a diverse range of industries and institutions, making the courses an ideal venue for networking and collaboration. COURSE CONTENT

Barcelona Graduate School of Economics

www.barcelonagse.eu

A WORLD OF TALENT International students from 50+ countries

and faculty with PhDs from top universities

TOP RANKING RESEARCH Consistently ranked among top economic

research institutions by RePEc

HIGH STANDARDS All programs evaluated by a Scientific

Council that includes 12 Nobel Laureates

The Barcelona GSE is an internationally leading research institution in Economics and the Social Sciences. It fosters scientific cooperation and

provides graduate education.

BGSE Academic Units

Teresa Garcia-Milà Director of the Barcelona GSE PhD, University of Minnesota

Ramon Marimon Chairman of the Board of Trustees PhD, Northwestern University

BGSE Leadership